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Company : The Ohio State University
File Name : Toth.pdf
Size : 3187457
Type : application/pdf
Date : 23-Aug-2010
Downloads : 9

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Featured Paper by

Charles K. Toth, Hui Ju and Dorota A. Grejner-Brzezinska

The paper reports about investigations into the utilization of the SIFT algorithm to support image matching between different image domains. The Scale-Invariant Feature Transformation, proposed by Lowe in 1999, is a highly robust technique that has been widely used in the computer vision community. Though, SIFT is known in mapping circles, so far its use is rather limited. The objective of our study is to assess the performance of SIFT when it is applied to imagery acquired by different sensors and on different platforms. For testing, four image datasets from different sensors were considered, including airborne and satellite imagery, and LiDAR intensity and elevation.
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